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Advanced topics for biomolecular simulation - 2023 CCP5 Summer School

This repository contains all the materials for the Simulation of Biomolecules Advanced course, part of the CCP5 Summer School taking place on July 25-27th 2023 at Durham University.

Instructors

Location

Durham University
Room: CC0007 Computer Classroom in the Chemistry Courtyard Building

Wed: 2-3 pm CG91 For a one hour lecture

Schedule

L1-8: Lectures. P: practical.

25th July Session Materials
9:00-10:00 L1: Introduction to Proteins (MTD) Lecture Slides
10:00-11:00 L2 & P: Protein Preparation (AM) Lecture Slides, Webserver
11:00-11:30 Coffee
11:30-12:30 L3: Introduction to Docking (AB) Lecture Slides
12:30-14:00 Lunch 🍝
14:00-15:30 P: Docking (AB) Practical Slides
15:30-16:00 Coffee
16:00-17:00 P: Docking (AB) Practical Slides
26th July Session Materials
9:00-10:00 L4: Simulation Best Practices (AM) Lecture Slides
10:00-11:00 P: Simulation setup with BioSimSpace (AM) Practical Notebook
11:00-11:30 Coffee
11:30-12:30 L5 & P: Analysis Tools (AM) Lecture Slides, Analysis_0
12:30-14:00 Lunch 🍝
14:00-15:00 L6: Dimensionality Reduction & Clustering (MTD) Lecture Slides
15:00-15:30 Coffee
15:30-17:00 P: Dimensionality Reduction & Clustering (MTD/AM) Analysis_1 Analysis_2 Analysis_3
27th July Session Materials
9:00-10:00 L7: Data Classification (MTD) Lecture Slides
10:00-11:00 P: Data Classification (MTD/AM) Analysis_4
11:00-11:30 Coffee
11:30-12:30 L8: Markov State Modelling (AM) Lecture Slides
12:30-14:00 Lunch 🍝

Setting up your Python environment before the workshop

Instructions for setting up your environment to run this workshop locally are provided in INSTALL.md.

A full list of the required Python packages can be seen inside environment.yml.

As downloading and installing everything will take a little while, ideally you should follow these steps before the workshop starts. If you encounter any issues during installation, we can help!

Google Colab

If for any reason you cannot set up a local environment with all required packages, you can use Google Colab to run all workshop notebooks directly from your browser, no installation required.

BioSimSpace setup for 3_Simulation_setup

Information for the installation of this can be found in this README

Course pre-requisites

The course assumes that attendees have a working knowledge of Jupyter notebooks, Python (especially the NumPy library), and the bash shell.

Licenses

The BioSimSpace material in folder 3_* licenced under GPL v3.

The MDAnalysis logo and its derivatives are licensed under the Creative Commons Attribution-NoDerivs 3.0 Unported License.

The MDAnalysis material in folder 4_* is licenced under CC-BY 4.0 Creative Commons Licence

Material in folders 1_*, 5_*, 6_*, and 7_* is licenced under CC-BY-SA 4.0. Creative Commons Licence

Acknowledgements

Please see AUTHORS.md for a list of contributors to the workshop materials.

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  • Jupyter Notebook 93.0%
  • Python 7.0%